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Comparative Study of Optimal Controller Placement Considering Uncertainty in PV Growth and Distribution Grid Expansion
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0002-2014-0444
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-4210-8672
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0003-3014-5609
2018 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 155, 48-57 p.Article in journal (Refereed) Published
Abstract [en]

Distributed generation (DG) and especially grid-connected residential photovoltaic (PV) systems are emerging and high penetration levels of these can have an adverse impact on several low voltage (LV) distribution grids in terms of power quality and reliability. In order to reduce that effect in a cost-effective manner, the traditional distribution grid planning process is being reengineered by incorporating the grid control operations and considering the uncertainties e.g., DG power, demand and urban/rural expansion plans. One of the challenges is to determine if the required technology deployment to operate the grids can provide a better solution in terms of quality and cost than the traditional approach, which is principally based on cable reinforcement and change of transformers. In addition, if controllers were to be deployed, it would be important to determine where they should be placed and at what stage of the expansion planning, especially when the planning is assumed to be non-deterministic. Therefore, following this situation, in this paper we propose an optimal way to deploy and to operate utility's controllable resources at the distribution grid and additionally we consider the uncertainties related to PV growth and distribution grid expansion. Thus, we include the non-deterministic multistage perspective to the controller placement problem. Furthermore, we perform a techno-economic analysis of the results and we show that an optimal controller placement allows removing the overvoltage problems arising in the LV grid in a more cost-effective way compared to a typical traditional grid reinforcement approach.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 155, 48-57 p.
Keyword [en]
Distribution grid planning, Model predictive control, Photovoltaics, Voltage control
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-216400DOI: 10.1016/j.epsr.2017.10.001Scopus ID: 2-s2.0-85030835113OAI: oai:DiVA.org:kth-216400DiVA: diva2:1150930
Note

QC 20171024

Available from: 2017-10-20 Created: 2017-10-20 Last updated: 2017-10-24Bibliographically approved

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Armendariz, MikelNordström, Lars

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